Affiliation:
1. Faculty of Organization and Informatics University of Zagreb Pavlinska 2, Varazdin CROATIA
Abstract
Usage of chatbot platforms is acquiring great attention at all levels of education. Human-chatbot interactions generate huge amounts of data which are a valuable source of information, when properly analyzed by means of data and text mining. One of the most challenging tasks in the mining process is the selection of the appropriate algorithm for a data set at hand. This is a complex task and depends on characteristics of the dataset used in the analysis. Those characteristics are formalized through meta-features. In this paper, we identified meta-features of chatbot and survey data. As a case study, we evaluated two data sets and identified their general meta-features along with discussion. This is, to the best of our knowledge, the first examination of meta-features for chatbot interactions data and their comparison with survey data.
Publisher
World Scientific and Engineering Academy and Society (WSEAS)
Cited by
1 articles.
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1. On the Development of a Novel Chatbot Generator Architecture: Design and Assessment Issues;2023 8th International Conference on Mathematics and Computers in Sciences and Industry (MCSI);2023-10-14